
The 10th International Symposium on Big Data and Applied Statistics (ISBDAS 2027) will be held from March 12 to 14, 2027, in Tianjin, China. This conference aims to establish a high-level platform for global experts, engineers, researchers, and industry professionals in "Big Data" and "Applied Statistics" to share cutting-edge research and technological innovations, track academic trends, broaden research perspectives, foster in-depth scholarly collaboration, and accelerate industrial partnerships for academic achievements. ISBDAS has built a strong legacy with past editions held in: Guangzhou (2025, 2018), Beijing (2024), Shanghai (2023), Xining (2022), Dali (2021), Kunming (2020) and Dalian (2019). We cordially invite experts, scholars, industry representatives, and professionals worldwide to participate in this grand event, collectively propelling innovation and advancement in Big Data and Applied Statistics!
🗓︎Important Dates
Full Paper Submission Date: December 28, 2026
Notification of Acceptance Date: January 26, 2027
Final Paper Submission Date: February 12, 2027
Conference Dates: March 12-14, 2027
🗺︎Venue
Tianjin, China
📚︎ Big Data Technologies and Applications
Big Data Analytics; Models, Architecture, and Algorithms of Big Data; Big Data Search and Information Retrieval; Big Data Acquisition, Integration, and Cleaning; Scalable Computing Models and Algorithms; Big Data and Deep Learning; Big Data and High Performance Computing; Cyber-Infrastructure for Big Data; Resource Management in Big Data Systems; IoT Applications of Big Data; Smart City Applications of Big Data; Big Data Privacy and Security; Distributed Big Data Storage Architectures; Cloud-Native Big Data Computing Models; Edge-Cloud Collaborative Big Data Computing
📚︎ Applied Statistics and Intelligent Computing
Statistical Computing in Big Data Environments; Statistical Methods for High-Dimensional Data; Nonparametric Statistical Methods in Data Mining; Statistical Learning Theory and Algorithms; Multivariate Statistical Methods; Time Series Forecasting and Modeling; Advanced Cluster Analysis Algorithms; Statistical Data Fusion in Sensor Networks; Statistical Classification in Pattern Recognition; Statistical Analysis and Prediction in Power Systems; Statistical Modeling and Optimization in Communication Networks; Statistical Reliability Prediction Algorithms; Applied Mathematics and Optimization; Statistical Applications in Engineering; Statistical Software and Tool Development
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
*ISBDAS 2019:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2020:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2021:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2022:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2023:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2024:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2025:IEEE | Cover | EI Indexing | Scopus Indexing
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.